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研究生:蔡孟佑
研究生(外文):Mon-You Tsai
論文名稱:共同邊界動態網路差額基礎衡量(MDN-SBM)模型之建立與應用─以航空公司之營運績效評估為例
論文名稱(外文):The Meta Dynamic Network Slack-based Measure: Efficiency Evaluation of Global Airlines
指導教授:陳惠國陳惠國引用關係
指導教授(外文):Huey-Kuo Chen
學位類別:碩士
校院名稱:國立中央大學
系所名稱:土木工程學系
學門:工程學門
學類:土木工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:116
中文關鍵詞:資料包絡分析MDN-SBM變異模型廉價航空公司一般航空公司
外文關鍵詞:DEAMDN-SBMvariationslow cost carrierfull service carrier
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本研究以差額變數基礎衡量模型(slack-based measure, SBM)為基礎,整合網路SBM、動態SBM以及共同邊界模型,發展出共同邊界動態網路SBM(meta dynamic network slack-based measure, MDN-SBM),並進一步納入變異模型(Tone, 2010)之概念,建構出一般化之績效評估模型稱之為MDN-SBM變異模型。最後以全球50家航空公司為例進行績效衡量,結果顯示廉價航空與一般航空公司之在於MDN-SBM模型衡量結果之平均營運效率值無明顯的差異,但於共同技術比率(metatechnology ratio, MTR)廉價航空明顯的較一般航空公司低,表示廉價航空之生產技術較一般航空公司差。
In non-parametric boundary analysis, there are 2 methods for measuring performance, e.q. the data envelopment analysis (DEA) and the slack-based measure (SBM). In this paper, we focus on SBM methods, and we integrate their models in the SBM framework, called meta dynamic network slack-based measure (MDN-SBM). Furthermore, for improving the shortcoming of SBM model, we combine the MDN-SBM model and SBM variations methods. Last we apply MDN-SBM model to evaluate performance of the 50 airlines of worldwide. Our findings indicate that, in general, there is no different between full service carriers (FSC) and low cost carriers (LCC) in the result of MDN-SBM model. But it different at metatechnology ratio (MTR), which present that the MTR value of LCC is lower than FSC.
摘要 I
ABSTRACT II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VII
第一章 緒論 1
1.1研究背景與動機 1
1.1.1 資料包絡分析擴張模型發展 1
1.1.2 航空產業特性 2
1.2研究目的 3
1.3研究對象與範圍 3
1.4研究流程 5
第二章 文獻回顧 7
2.1 DEA模型發展 9
2.1.1 CCR以及BCC模型 9
2.1.2 麥氏生產力指數 10
2.1.3 網路DEA 11
2.1.4 共同邊界 12
2.1.4 運輸產業特性 13
2.2 SBM模型發展 14
2.2.1 SBM模型 14
2.2.2 SBM 麥氏生產力指數模型 14
2.2.3 網路SBM 15
2.2.3 SBM變異模型 15
2.2.4 動態SBM 16
2.3運用資料包絡分析於航空公司之文獻 16
2.4 小結 17
第三章 現有文獻之SBM模型 20
3.1 SBM模型 22
3.2 網路SBM 24
3.3 動態SBM 27
3.3.1 投入導向 29
3.3.2 產出導向 30
3.3.3 考慮任意變動項 31
3.4 共同邊界 33
3.4.1 共同邊界與群體邊界生產技術集合 33
3.4.2 共同技術比率 34
3.5 運輸產業特性 34
3.6 小結 35
第四章 群體邊界動態網路差額衡量基礎模型 36
4.1 生產技術集合與生產可能集合 39
4.2 目標式與效率值 42
4.2.1 投入導向 42
4.2.2 產出導向 45
4.2.3 無導向 48
4.3 任意變動項納入效率值評估 50
4.4 投射(projection) 52
4.5 群體邊界動態網路SBM變異模型 53
4.6 運出產業群體邊界動態網路SBM模型 55
4.6.1 運輸產業不可儲存性 55
4.6.2 運輸安全特性 56
4.6.3 無導向模型之計算 60
4.7 小結 64
第五章 共同邊界動態網路差額衡量基礎模型 66
5.1 共同邊界動態網路SBM投入導向模型 69
5.2 共同邊界動態網路SBM變異模型 74
5.3 運輸產業共同邊界動態網路SBM模型 76
5.4 共同技術比率(MTR) 79
5.5 小結 80
第六章 案例分析 81
6.1 獨立模型 82
6.2 MDN-SBM模型分析結果 82
6.3 共同技術比率分析 85
第七章 結論與建議 89
參考文獻 92
附錄1 111
附錄2 112
附錄3 113
附錄4 115

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